TY - JOUR
T1 - A hybrid transform method for image denoising
AU - Shaick, Ben Zion
AU - Ridel, Leonid
AU - Yaroslavsky, Leonid
N1 - Publisher Copyright:
© 2000 EUSIPCO.
PY - 2000/3/31
Y1 - 2000/3/31
N2 - Image filtering in moving window in DCT domain has proven its capability in image edge preserving denosing. For the highest noise suppression capability, such a filtering requires, in principle, optimal selection of the size of the moving window for each particular image. In order to overcome this drawback, a combination of signal wavelet expansion (sub band decomposition) and moving window filtering in DCT domain is suggested and experimentally tested on a number on synthetic and real life images.
AB - Image filtering in moving window in DCT domain has proven its capability in image edge preserving denosing. For the highest noise suppression capability, such a filtering requires, in principle, optimal selection of the size of the moving window for each particular image. In order to overcome this drawback, a combination of signal wavelet expansion (sub band decomposition) and moving window filtering in DCT domain is suggested and experimentally tested on a number on synthetic and real life images.
UR - http://www.scopus.com/inward/record.url?scp=84937061499&partnerID=8YFLogxK
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AN - SCOPUS:84937061499
SN - 2219-5491
VL - 2015-March
JO - European Signal Processing Conference
JF - European Signal Processing Conference
IS - March
M1 - 7075838
T2 - 2000 10th European Signal Processing Conference, EUSIPCO 2000
Y2 - 4 September 2000 through 8 September 2000
ER -